Instructions to use ElChapoII/Testing7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ElChapoII/Testing7", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 89f77638f3fd152e1d7e0e989fc56c0755794cb9d6a05e1d8d3c0bf3bd4b78be
- Size of remote file:
- 492 MB
- SHA256:
- 30f9806a8a93a1782ea49fbf03dcbfc0558d1de91ce3df7d533db003a8e9637f
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